[esmm][protos]modify esmm，add auc.num_thresholds #76
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poson
commented
Nov 22, 2021
poson
commented
- DNN has 0 neuro means just return concated input features
- ESMM change loss functions ，avoid the loss of accuracy 。use sqrt to the probs of ctcvr 。
- add AUC.num_thresholds
- use metric.auc.num_thresholds to access num_thresholds
2. ESMM change loss functions ，avoid the loss of accuracy 。use sqrt to the probs of ctcvr 。 3. add AUC.num_thresholds
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dawn310826
reviewed
Nov 26, 2021
easy_rec/python/model/esmm.py
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| weights=self._sample_weight) | ||
| ctr_loss = tf.reduce_sum(tf.nn.sigmoid_cross_entropy_with_logits(labels=tf.cast(self._labels[ctr_label_name], tf.float32), | ||
| logits=self._prediction_dict['logits_%s' % ctr_tower_name]), | ||
| name="cvr_loss") |
easy_rec/python/model/esmm.py
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| @@ -111,7 +109,7 @@ def build_metric_graph(self, eval_config): | |||
| ctr_label_name = self._label_name_dict[ctr_tower_name] | |||
| for metric in self._cvr_tower_cfg.metrics_set: | |||
| # CTCVR metric | |||
| ctcvr_label_name = cvr_label_name + '_ctcvr' | |||
| ctcvr_label_name = cvr_label_name + '_ctcvrsqrt' | |||
poson
changed the title
poson
changed the title
dawn310826
reviewed
Nov 29, 2021
easy_rec/python/model/esmm.py
Outdated
| self._labels[ctr_label_name], | ||
| self._prediction_dict['logits_%s' % ctr_tower_name], | ||
| weights=self._sample_weight) | ||
| ctr_loss = tf.reduce_sum(tf.nn.sigmoid_cross_entropy_with_logits(labels=tf.cast(self._labels[ctr_label_name], tf.float32), |
| @@ -159,6 +157,8 @@ def _add_to_prediction_dict(self, output): | |||
| self._prediction_dict['probs_%s' % self._ctr_tower_cfg.tower_name]) | |||
| # pctcvr = pctr * pcvr | |||
| self._prediction_dict['probs_ctcvr'] = prob | |||
| self._prediction_dict['probs_ctcvrsqrt'] = tf.sqrt(prob) | |||
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easy_rec/python/model/esmm.py
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| self._prediction_dict['probs_ctcvr'], | ||
| weights=self._sample_weight) | ||
| ctcvr_label = tf.cast(self._labels[cvr_label_name] * self._labels[ctr_label_name], tf.float32) | ||
| cvr_losses = tf.keras.backend.binary_crossentropy(ctcvr_label, self._prediction_dict['probs_ctcvr']) |
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LGTM |
dawn310826
approved these changes
Nov 29, 2021
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